Publications

Empirical Inference Conference Paper Learning with Hyperspherical Uniformity Liu, W., Lin, R., Liu, Z., Xiong, L., Schölkopf, B., Weller, A. Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 130:1180-1188, Proceedings of Machine Learning Research, (Editors: Arindam Banerjee and Kenji Fukumizu), PMLR, AISTATS, April 2021 (Published) URL BibTeX

Empirical Inference Ph.D. Thesis Machine Learning Methods for Modeling Synthesizable Molecules Bradshaw, J. University of Cambridge, UK, Cambridge, April 2021, (Cambridge-Tübingen-Fellowship) (Published) DOI BibTeX

Empirical Inference Article Synchronous activity patterns in the dentate gyrus during immobility Pofahl, M., Nikbakht, N., Haubrich, A. N., Nguyen, T., Masala, N., Distler, F., Braganza, O., Macke, J. H., Ewell, L. A., Golcuk, K., et al. eLife, 10:29, March 2021 (Published) DOI URL BibTeX

Empirical Inference Probabilistic Learning Group Conference Paper Algorithmic Recourse: from Counterfactual Explanations to Interventions Karimi, A., Schölkopf, B., Valera, I. FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, :353-362, (Editors: Madeleine Clare Elish and William Isaac and Richard S. Zemel), ACM, New York, NY, ACM Conference on Fairness, Accountability, and Transparency (FAccT 2021), March 2021 (Published) DOI URL BibTeX

Empirical Inference Article An improved equation of state for air plasma simulations Träuble, F., Millmore, S. T., Nikiforakis, N. Physics of Fluids, 33(3):13, March 2021 (Published) DOI URL BibTeX

Empirical Inference Conference Paper A Theory of Independent Mechanisms for Extrapolation in Generative Models Besserve, M., Sun, R., Janzing, D., Schölkopf, B. In Proceedings of the 35th AAAI Conference on Artificial Intelligence , 35(8):6741-6749, 35th AAAI Conference on Artificial Intelligence (AAAI 2021), February 2021 (Published) arXiv DOI URL BibTeX

Empirical Inference Article Can a Novel Deep Neural Network Improve the Computer-Aided Detection of Solid Pulmonary Nodules and the Rate of False-Positive Findings in Comparison to an Established Machine Learning Computer-Aided Detection? Perl, R. M., Grimmer, R., Hepp, T., Horger, M. S. Investigative Radiology, 56(2):103-108, February 2021 (Published) DOI BibTeX

Empirical Inference Article Enhancing the resolution of the angular orientations of the flow controlling blades on a sustainable house by training an artificial neural network Amini, K., Mehrjou, A., Mani, M. Energy Efficiency, 14, February 2021 (Published) DOI URL BibTeX

Intelligent Control Systems Movement Generation and Control Probabilistic Numerics Empirical Inference Article Robot Learning with Crash Constraints Marco, A., Baumann, D., Khadiv, M., Hennig, P., Righetti, L., Trimpe, S. IEEE Robotics and Automation Letters, 6(2):1439-1446, IEEE, February 2021 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Neural Linear Models with Functional Gaussian Process Priors Watson, J., Lin, J. A., Klink, P., Peters, J. 3rd Symposium on Advances in Approximate Bayesian Inference , 3rd Symposium on Advances in Approximate Bayesian Inference (AABI 2021) , 2021 (Published) URL BibTeX

Empirical Inference Robotics Miscellaneous A Robot Cluster for Reproducible Research in Dexterous Manipulation Wüthrich*, M., Widmaier*, F., Bauer*, S., Funk, N., Urain, J., Peters, J., Watson, J., Chen, C., Srinivasan, K., Zhang, J., et al. 2021, *equal contribution (Published) arXiv BibTeX

Empirical Inference Miscellaneous A model of Ponto-Geniculo-Occipital waves supports bidirectional control of cortical plasticity across sleep-stages Shao, K., Villegas, J. F. R., Logothetis, N. K., Besserve, M. 2021, In preparation (In preparation) bioRxiv DOI BibTeX

Empirical Inference Article ABCDP: Approximate Bayesian Computation with Differential Privacy Park, M., Vinaroz, M., Jitkrittum, W. Entropy, 23(8), MDPI, 2021 (Published) DOI URL BibTeX

Empirical Inference Article An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions Tosatto, S., Akrour, R., Peters, J. Stats, 4(1):1-17, 2021 (Published) DOI URL BibTeX

Empirical Inference Article Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states Zilio, F., Gomez-Pilar, J., Cao, S., Zhang, J., Zang, D., Qi, Z., Tan, J., Hiromi, T., Wu, X., Fogel, S., et al. NeuroImage, 226:14, 2021 (Published) DOI URL BibTeX

Empirical Inference Article Assessing Transferability From Simulation to Reality for Reinforcement Learning Muratore, F., Gienger, M., Peters, J. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(4):1172-1183, 2021 (Published) DOI URL BibTeX

Empirical Inference Article Bayesian ODE solvers: the maximum a posteriori estimate Tronarp, F., Särkkä, S., Hennig, P. Statistics and Computing, 31(3):23, 2021 (Published) DOI BibTeX

Empirical Inference Article Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys Li, Y., Zhou, X., Colnaghi, T., Wei, Y., Marek, A., Li, H., Bauer, S., Rampp, M., Stephenson, L. npj Computational Materials, 7, 2021 (Published) PDF DOI URL BibTeX

Empirical Inference Article Counterfactual Mean Embeddings Muandet, K., Kanagawa, M., Saengkyongam, S., Marukatat, S. Journal of Machine Learning Research, 22, JMLR, 2021 (Published) URL BibTeX

Empirical Inference Miscellaneous Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions Abdulsamad, H., Dorau, T., Belousov, B., Zhu, J., Peters, J. 2021 (Published) arXiv BibTeX

Empirical Inference Article Finding Stable Matchings in PhD Markets with Consistent Preferences and Cooperative Partners Mordig, M., Della Vecchia, R., Cesa-Bianchi, N., Scholkopf, B. arxiv, 2021 () BibTeX

Empirical Inference Article From Univariate to Multivariate Coupling Between Continuous Signals and Point Processes: A Mathematical Framework Safavi, S., Logothetis, N., Besserve, M. Neural Computation, 33(7):1751-1817, 2021 (Published) arXiv DOI BibTeX

Intelligent Control Systems Empirical Inference Article Learning Event-triggered Control from Data through Joint Optimization Funk, N., Baumann, D., Berenz, V., Trimpe, S. IFAC Journal of Systems and Control, 16:100144, 2021 () arXiv DOI URL BibTeX

Empirical Inference Article MRzero - Automated discovery of MRI sequences using supervised learning Loktyushin, A., Herz, K., Dang, N., Glang, F., Deshmane, A., Weinmüller, S., Doerfler, A., Schölkopf, B., Scheffler, K., Zaiss, M. Magnetic Resonance in Medicine, 86(2):709-724, 2021 (Published) DOI URL BibTeX

Empirical Inference Article Machine learning identifies stroke features between species Castaneda-Vega, S., Katiyar, P., Russo, F., Patzwaldt, K., Schnabel, L., Mathes, S., Hempel, J., Kohlhofer, U., Gonzalez-Menendez, I., Quintanilla-Martinez, L., et al. Theranostics, 11(6):3017-3034, 2021 (Published) DOI URL BibTeX

Empirical Inference Miscellaneous NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments Prabhoo, S., Bauer, S., Schwab, P. 2021 (Published) arXiv BibTeX

Empirical Inference Miscellaneous On the Impact of Stable Ranks in Deep Nets Georgiev, B., Franken, L., Mukherjee, M., Arvanitidis, G. 2021 (Published) arXiv BibTeX

Empirical Inference Miscellaneous Pulling back information geometry Arvanitidis, G., González Duque, M., Pouplin, A., Kalatzis, D., Hauberg, S. 2021 (Published) arXiv BibTeX

Empirical Inference Article Real-time Prediction of COVID-19 related Mortality using Electronic Health Records Schwab, P., Mehrjou, A., Parbhoo, S., Celi, L., Hetzel, J., Hofer, M., Schölkopf, B., Bauer, S. Nature Communications, 12, 2021 (Published) DOI URL BibTeX

Empirical Inference Book Reinforcement Learning Algorithms: Analysis and Applications Belousov, B., H., A., Klink, P., Parisi, S., Peters, J. 883, Studies in Computational Intelligence, Springer International Publishing, 2021 (Published) DOI BibTeX

Empirical Inference Article Requirement of DNMT1 to orchestrate epigenomic reprogramming for NPM-ALK-driven lymphomagenesis Redl, E., Sheibani-Tezerji, R., Cardona, C. D. J., Hamminger, P., Timelthaler, G., Hassler, M. R., Zrimsek, M., Lagger, S., Dillinger, T., Hofbauer, L., et al. Life Science Alliance, 4(2), 2021 (Published) DOI BibTeX

Empirical Inference Haptic Intelligence Perceiving Systems Physical Intelligence Robotic Materials MPI Year Book Scientific Report 2016 - 2021 2021 () Scientific Report 2016 - 2021 BibTeX

Empirical Inference Article Simpson’s paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects von Kügelgen*, J., Gresele*, L., Schölkopf, B. IEEE Transactions on Artificial Intelligence, 2(1):18-27, IEEE Computer Society, 2021, *equal contribution (Published) arXiv DOI URL BibTeX

Empirical Inference Article Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images Kondmann, L., Toker, A., Saha, S., Schölkopf, B., Leal-Taixé, L., Zhu, X. IEEE Transactions on Geoscience and Remote Sensing, 60, 2021 (Published) arXiv DOI URL BibTeX

Empirical Inference Article Toward Causal Representation Learning Schölkopf*, B., Locatello*, F., Bauer, S., Ke, N. R., Kalchbrenner, N., Goyal, A., Bengio, Y. Proceedings of the IEEE, 109(5):612-634, 2021, *equal contribution (Published) DOI URL BibTeX

Empirical Inference Miscellaneous Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger Allshire, A., Mittal, M., Lodaya, V., Makoviychuk, V., Makoviichuk, D., Widmaier, F., Wüthrich, M., Bauer, S., Handa, A., Garg, A. 2021 () arXiv BibTeX

Empirical Inference Conference Paper A Class of Algorithms for General Instrumental Variable Models Kilbertus, N., Kusner, M. J., Silva, R. Advances of Neural Information Processing Systems 33 (NeurIPS 2020), 33:20108-20119, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates Inc., 34th Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Park, J., Muandet, K. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :21247-21259, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Probabilistic Learning Group Conference Paper Algorithmic recourse under imperfect causal knowledge: a probabilistic approach Karimi*, A., von Kügelgen*, J., Schölkopf, B., Valera, I. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :265-277, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020, *equal contribution (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Barking up the right tree: an approach to search over molecule synthesis DAGs Bradshaw, J., Paige, B., Kusner, M., Segler, M., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :6852-6866, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Ph.D. Thesis Causal Feature Selection in Neuroscience Mastakouri, A. University of Tübingen, Germany, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Causal analysis of Covid-19 Spread in Germany Mastakouri, A., Schölkopf, B. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :3153-3163, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Dual Instrumental Variable Regression Muandet, K., Mehrjou, A., Lee, S. K., Raj, A. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :2710-2721, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Learning Kernel Tests Without Data Splitting Kübler, J. M., Jitkrittum, W., Schölkopf, B., Muandet, K. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :6245-6255, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Modeling Shared responses in Neuroimaging Studies through MultiView ICA Richard, H., Gresele, L., Hyvärinen, A., Thirion, B., Gramfort, A., Ablin, P. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :19149-19162, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., Red Hook, NY, 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Object-Centric Learning with Slot Attention Locatello, F., Weissenborn, D., Unterthiner, T., Mahendran, A., Heigold, G., Uszkoreit, J., Dosovitskiy, A., Kipf, T. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :11525-11538, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Probabilistic Linear Solvers for Machine Learning Wenger, J., Hennig, P. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :6731-6742, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Probabilistic Learning Group Conference Paper Relative gradient optimization of the Jacobian term in unsupervised deep learning Gresele, L., Fissore, G., Javaloy, A., Schölkopf, B., Hyvarinen, A. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :16567-16578, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining Tripp, A., Daxberger, E., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :11259-11272, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Empirical Inference Conference Paper Self-Paced Deep Reinforcement Learning Klink, P., D’Eramo, C., Peters, J., Pajarinen, J. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), :9216-9227, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX

Publications

Filter by